
Sandip Kulkarni developed a few-shot natural language to SQL validation workflow for the microsoft/fabric-samples repository, focusing on the Fabric Data Agent SDK. He created a Jupyter Notebook that guides users through installation, data loading, LLM-based validation, and interpreting results, using Python and SQL to demonstrate practical data validation techniques. Sandip also enhanced developer documentation by adding markdown links to synthetic public datasets, streamlining the testing process for new users. His work emphasized clarity and reproducibility, providing a hands-on resource for data engineers and scientists. The contribution was focused in scope, delivering a single, well-documented feature without bug fixes.

Month: 2025-09 — Focused on delivering a practical validation workflow for Fabric Data Agent SDK and strengthening developer docs. Key work: Added a few-shot NL-to-SQL validation notebook and updated documentation with synthetic dataset links. Commits: fa757bace52bcfe0ff0c1c017993c36cafcd99b9; b17f0ecdcde7d6ffe424d9e3e167cff0993bfd63.
Month: 2025-09 — Focused on delivering a practical validation workflow for Fabric Data Agent SDK and strengthening developer docs. Key work: Added a few-shot NL-to-SQL validation notebook and updated documentation with synthetic dataset links. Commits: fa757bace52bcfe0ff0c1c017993c36cafcd99b9; b17f0ecdcde7d6ffe424d9e3e167cff0993bfd63.
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